STATISTICAL TECHNIQUES AND TOOLS
TESTS OF SIGNIFICANCE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which of the following best describes a Type I error?
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The null is true, but we mistakenly reject it.
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The null is false and we reject it.
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The null is false, but we fail to reject it.
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The null is true but we fail to reject it.
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Explanation:
Detailed explanation-1: -A type I error is often called a false positive. This occurs when the null hypothesis is rejected even though it’s correct.
Detailed explanation-2: -1) Type-I Error: In a hypothesis test, a Type-I error occurs when the null hypothesis is rejected when it is in fact true. That is, H0 is wrongly rejected.
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